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Processing andanalysis of images toclarify biologicalstructure of thebrain from theposition of forming aneural network… :доклад, тезисыдоклада Medievsky A. V.Zotin A. G.Simonov K. V.2022 год

Processing and analysis of images to clarify biological structure of the brain from the position of forming a neural network model : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: Processing and analysis of images to clarify biological structure of the brain from the position of forming a neural network model : доклад, тезисы доклада / A. V. Medievsky [et al.]. - [S. l. : s. n.], 2022. - Текст : непосредственный // Proceedings II International Scientific Conference on Advances in Science, Engineering and Digital Education (ASEDU-II-2021) : Conference Proceedings / Proceedings II International Scientific Conference on Advances in Science, Engineering and Digital Education (ASEDU-II-2021) (2021 ; 28.10 - 28.10 ; Krasnoyarsk). - Krasnoyarsk : AIP PUBLISHING, 2022. - 2647 А. - P. 70023. - ISBN 9780735442382, DOI 10.1063/5.0104168.
Аннотация: The study of principles of brain structure formation and development is necessary for enriching fundamental knowledge both in the field of neurophysiology and in medicine. A detailed description of all the brain features will allow you to choose the most effective therapy method or check the effectiveness of drugs being developed. The basis for creating a model of a biological neural network is a map of nerve cells and their connections. To obtain it, it is necessary to carry out microscopy of the cell culture, which will allow obtaining a low-contrast image. The study of these images is a complex task, so we have developed a contrasting algorithm using color-coding for images processing, designed to improve the process of creating a neural network model.
Год издания: 2022
Авторы: Medievsky A. V. , Zotin A. G. , Simonov K. V. , Kruglyakov A. S.
Издательство: AIP PUBLISHING, Krasnoyarsk
Выпуск: 2647 А
Мероприятие: Proceedings II International Scientific Conference on Advances in Science, Engineering and Digital Education (ASEDU-II-2021) (Krasnoyarsk, 2021 ; 28.10 - 28.10)
Номера страниц: 70023
Держатель оригинала документа: Institute of Computational Modeling of the SB RAS, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Reshetnev Siberian State University of Science and Technology
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Твёрдая копия издания отсутствует в фонде библиотеки

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